Literature DB >> 31298045

The impact of co-morbidities on a 6-year survival after methanol mass poisoning outbreak: possible role of metabolic formaldehyde.

Sergey Zakharov1,2, Jan Rulisek3, Jiri Hlusicka1,2, Katerina Kotikova1,2, Tomas Navratil2,4, Martin Komarc5, Manuela Vaneckova6, Zdenek Seidl6, Pavel Diblik7, Jan Bydzovsky7, Jarmila Heissigerova7, David Zogala8, Jaroslav A Hubacek9, Michal Miovsky10, Jaroslav Sejvl10, Lucie Vojtova11, Daniela Pelclova1,2.   

Abstract

Context: The influence of co-morbid conditions on the outcome of acute methanol poisoning in mass poisoning outbreaks is not known.Objective: The objective of this is to study the impact of burden of co-morbidities, complications, and methanol-induced brain lesions on hospital, follow-up, and total mortality.
Methods: All patients hospitalized with methanol poisoning during a mass poisoning outbreak were followed in a prospective cohort study until death or final follow-up after 6 years. The age-adjusted Charlson co-morbidity index (ACCI) score was calculated for each patient. A multivariate Cox regression model was used to calculate the adjusted hazards ratio (HR) for death. The survival was modeled using the Kaplan-Meier method.
Results: Of 108 patients (mean age with SD 50.9 ± 2.6 years), 24 (54.4 ± 5.9 years) died during hospitalization (mean survival with SD 8 ± 4 days) and 84 (49.9 ± 3.0 years; p = .159) were discharged, including 27 with methanol-induced brain lesions. Of the discharged patients, 15 (56.3 ± 6.8 years) died during the follow-up (mean survival 37 ± 11 months) and 69 (48.5 ± 3.3 years; p = .044) survived. The hospital mortality was 22%, the follow-up mortality was 18%; the total mortality was 36%. Cardiac/respiratory arrest, acute respiratory failure, multiorgan failure syndrome, and arterial hypotension increased the HR for hospital and total (but not follow-up) mortality after adjustment for age, sex, and arterial pH (all p < .05). All patients who died in the hospital had at least one complication. A higher ACCI score was associated with greater total mortality (HR 1.22; 1.00-1.48 95% CI; p = .046). Of those who died, 35 (90%) had a moderate-to-high ACCI. The Kaplan-Meier curve demonstrated that patients with a high ACCI had greater follow-up mortality compared to ones with low (p = .027) or moderate (p = .020) scores. For the patients who died during follow-up, cancers of different localizations were responsible for 7/15 (47%) of the deaths.Conclusions: The character and number of complications affected hospital but not follow-up mortality, while the burden of co-morbidities affected follow-up mortality. Methanol-induced brain lesions did not affect follow-up mortality. Relatively high cancer mortality rate may be associated with acute exposure to metabolic formaldehyde produced by methanol oxidation.

Entities:  

Keywords:  Acute methanol poisoning; co-morbidities; complications; follow-up mortality; formaldehyde; hospital mortality; prognosis

Year:  2019        PMID: 31298045     DOI: 10.1080/15563650.2019.1637525

Source DB:  PubMed          Journal:  Clin Toxicol (Phila)        ISSN: 1556-3650            Impact factor:   4.467


  3 in total

1.  A cross-sectional multicenter linkage study of hospital admissions and mortality due to methanol poisoning in Iranian adults during the COVID-19 pandemic.

Authors:  Nasim Zamani; Rebecca McDonald; Seyed Amirhosein Mahdavi; Maryam Akhgari; Ali-Asghar Kolahi; Farzad Gheshlaghi; Ali Ostadi; Ahmad Dehghan; Mohammad Moshiri; Morteza Rahbar-Taramsari; Mohammad Delirrad; Neda Mohtasham; Saeed Afzali; Sara Ebrahimi; Pardis Ziaeefar; Navid Khosravi; Amir Mohammad Kazemifar; Mohammadreza Ghadirzadeh; Hoorvash Farajidana; Tahereh Barghemadi; Farangis Sadeghi; Seyed Kaveh Hadeiy; Mehdi Hadipourzadeh; Javad Mesbahi; Mohammad-Reza Malekpour; Mohsen Arabi; Farkhondeh Jamshidi; Bita Dadpour; Knut Erik Hovda; Hossein Hassanian-Moghaddam
Journal:  Sci Rep       Date:  2022-06-13       Impact factor: 4.996

2.  Estimation of long-term costs of postacute care in survivors of the methanol poisoning outbreak.

Authors:  Miroslav Barták; Vladimír Rogalewicz; Jaroslav Doubek; Jaroslav Šejvl; Benjamin Petruželka; Sergey Zakharov; Michal Miovský
Journal:  BMJ Open       Date:  2021-05-19       Impact factor: 2.692

3.  Development of a Simple and Powerful Analytical Method for Formaldehyde Detection and Quantitation in Blood Samples.

Authors:  Yong-Hyun Kim; Jeongsik Park
Journal:  J Anal Methods Chem       Date:  2020-12-30       Impact factor: 2.193

  3 in total

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